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Contract Ai Validation Jobs in Riverside, CA (NOW HIRING)

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Ensure high data quality standards including validation, completeness, consistency, and monitoring ... Define best practices for API contracts, reliability, and enable reusability of platform ...

Alpha BioMed Industries

Be Seen First

AI Automation Engineer

Santa Ana, CA · Remote

$120K - $150K/yr

... ● Valid driver's license and willingness to travel approximately 50%. What We Offer ● ... Company Description Alpha BioMed Labs is an Irvine, California-based contract manufacturer that ...

New

Cie

Product Designer (UX/UI) - Contract

Irvine, CA · On-site

We're especially looking for a product designer who reaches for AI and LLM powered tools to move ... Conduct user research and testing to validate designs and prototypes. * Identify and apply market ...

Cie

Product Designer (UX/UI) - Contract

Irvine, CA

We're especially looking for a product designer who reaches for AI and LLM powered tools to move ... Conduct user research and testing to validate designs and prototypes. * Identify and apply market ...

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All JobsContract Ai Validation JobsContract Ai Validation Jobs in Riverside, CA

Contract Ai Validation information

See Riverside, CA salary details

$23

$54

$81

How much do contract ai validation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for contract ai validation in Riverside, CA is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $65.96 per hour, depending on experience, location, and employer.

What is the difference between Contract Ai Validation vs Data Analyst?

AspectContract Ai ValidationData Analyst
Required CredentialsTypically certifications in AI, machine learning, or data science; sometimes a degree in computer science or related fieldsBachelor's or master's in statistics, data science, or related fields; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentProject-based, often remote, focused on AI model validation and testingOffice or remote, analyzing data sets, creating reports, and providing insights
Industry UsageUsed in AI development, tech companies, and industries deploying AI solutionsUsed across finance, healthcare, marketing, and other sectors for data-driven decision making

Contract Ai Validation professionals focus on testing and validating AI models, ensuring accuracy and compliance, often requiring AI-specific certifications. Data Analysts interpret data to inform business decisions, using statistical tools and data visualization. While both roles handle data, Contract Ai Validation is specialized in AI model validation, whereas Data Analysts work broadly with data analysis and reporting.

What are the most commonly searched types of Ai Validation jobs in Riverside, CA?

The most popular types of Ai Validation jobs in Riverside, CA are:

What job categories do people searching Contract Ai Validation jobs in Riverside, CA look for?

The top searched job categories for Contract Ai Validation jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Contract Ai Validation jobs?

Cities near Riverside, CA with the most Contract Ai Validation job openings:

Contract Ai Validation jobs near you

Title: Principal AI Engineer - Agentic AI | Contract to Hire | Irvine, CA (Hybrid) | AS

Central Business Solutions, Inc

Irvine, CA • On-site

$200 - $250/hr

Other

Posted 23 days ago

Job description

Title: Principal AI Engineer - Agentic AI| Contract to Hire | Irvine, CA (Hybrid) | AS

Central Business Solutions, Inc(A Certified Minority Owned Organization)

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 12+ years of software engineering experience.
  • 5+ years building AI/ML applications.
About the Role

We are seeking a Senior/Principal AI Engineer to design and build production-grade Agentic AI and Generative AI applications that enable Client's executives to interact with operational data through a conversational interface.

The ideal candidate will have strong experience building LLM-powered applications, AI agents, RAG solutions, tool-calling workflows, and data-grounded AI systems, with a strong focus on accuracy, trust, scalability, and production readiness.

Key Responsibilities
  • Design and develop Agentic AI / LLM-based applications for enterprise use cases.
  • Build conversational AI experiences that allow users to query complex operational data using natural language.
  • Develop agent workflows using frameworks such as LangGraph and LangChain.
  • Design single-agent and multi-agent architectures based on business and technical requirements.
  • Build RAG and retrieval workflows using vector search, embeddings, and PostgreSQL/pgVector.
  • Develop controlled tool-calling and SQL-based data retrieval workflows.
  • Implement mechanisms to prevent hallucinations and ensure responses are grounded in authoritative data.
  • Design validation processes for data availability, freshness, accuracy, and provenance before generating responses.
  • Integrate AI agents with enterprise data sources and APIs.
  • Work with AWS-based data and AI infrastructure.
  • Evaluate and optimize LLM application performance, including latency, token usage, cost, and response quality.
  • Design approaches for managing long conversational context, intent routing, and context isolation.
  • Implement real-time status/progress updates for long-running AI workflows using technologies such as WebSockets or Server-Sent Events.
  • Establish evaluation frameworks and metrics for AI accuracy, grounding, hallucination, and overall system quality.
  • Collaborate with product managers, data engineers, architects, and business stakeholders.
  • Lead technical discussions, architecture decisions, code reviews, and mentor other engineers.
Required Technical Skills
  • Strong experience with Generative AI / LLM applications
  • Hands-on experience with Agentic AI
  • LangGraph and/or LangChain
  • Python & AWS
  • RAG / Retrieval-Augmented Generation
  • Vector databases / Vector Search / Embeddings
  • PostgreSQL
  • SQL / Text-to-SQL
  • Experience with LLM tool calling / function calling
  • Understanding of multi-agent architectures and orchestration
  • Strong understanding of prompt engineering and system prompts
  • Experience addressing LLM hallucination, grounding, context management, and response accuracy
  • Strong software engineering and system design experience
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